NASDAQ:OILU
Delisted
AccuShares S&P GSCI Crude Oil Excess ETF Price (Quote)
$0.217
+0 (+0%)
At Close: Apr 15, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.210 | $1.52 | Wednesday, 15th Apr 2020 OILU stock ended at $0.217. During the day the stock fluctuated 0% from a day low at $0.217 to a day high of $0.217. |
90 days | $0.210 | $19.32 | |
52 weeks | $0.210 | $36.03 |
Date | Open | High | Low | Close | Volume |
May 23, 2019 | $25.52 | $25.55 | $22.58 | $23.61 | 1 608 814 |
May 22, 2019 | $29.69 | $30.16 | $27.64 | $28.00 | 651 265 |
May 21, 2019 | $30.52 | $30.98 | $30.20 | $30.63 | 336 092 |
May 20, 2019 | $30.67 | $31.30 | $30.08 | $30.87 | 346 243 |
May 17, 2019 | $30.97 | $31.57 | $30.06 | $30.30 | 319 889 |
May 16, 2019 | $30.50 | $31.44 | $30.39 | $30.87 | 449 001 |
May 15, 2019 | $28.33 | $29.85 | $28.20 | $29.69 | 480 730 |
May 14, 2019 | $28.79 | $29.42 | $28.59 | $28.89 | 409 611 |
May 13, 2019 | $30.78 | $31.18 | $27.46 | $27.67 | 653 100 |
May 10, 2019 | $28.55 | $29.37 | $28.47 | $28.77 | 283 287 |
May 09, 2019 | $28.72 | $28.98 | $27.77 | $28.66 | 421 501 |
May 08, 2019 | $28.41 | $29.76 | $28.25 | $29.15 | 511 824 |
May 07, 2019 | $28.49 | $28.88 | $27.39 | $28.15 | 685 364 |
May 06, 2019 | $28.60 | $30.60 | $28.50 | $30.39 | 712 448 |
May 03, 2019 | $29.10 | $29.94 | $28.90 | $29.04 | 330 067 |
May 02, 2019 | $29.36 | $29.55 | $27.77 | $28.61 | 611 784 |
May 01, 2019 | $31.98 | $32.10 | $30.42 | $31.58 | 388 064 |
Apr 30, 2019 | $32.40 | $32.50 | $31.20 | $32.06 | 302 899 |
Apr 29, 2019 | $31.10 | $31.72 | $30.42 | $31.62 | 378 015 |
Apr 26, 2019 | $32.76 | $32.76 | $29.58 | $30.55 | 1 146 754 |
Apr 25, 2019 | $35.02 | $35.32 | $33.71 | $33.81 | 370 994 |
Apr 24, 2019 | $35.88 | $35.90 | $34.84 | $34.94 | 402 312 |
Apr 23, 2019 | $35.07 | $36.03 | $35.04 | $35.74 | 409 422 |
Apr 22, 2019 | $34.53 | $35.20 | $34.36 | $34.75 | 596 113 |
Apr 18, 2019 | $32.31 | $32.51 | $31.80 | $32.42 | 296 043 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use OILU stock historical prices to predict future price movements?
Trend Analysis: Examine the OILU stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the OILU stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.